Overview

Dataset statistics

Number of variables18
Number of observations4028530
Missing cells13523378
Missing cells (%)18.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory553.2 MiB
Average record size in memory144.0 B

Variable types

DateTime2
Categorical6
Text7
Boolean2
Numeric1

Alerts

Company public response is highly imbalanced (77.4%)Imbalance
Submitted via is highly imbalanced (72.1%)Imbalance
Company response to consumer is highly imbalanced (59.8%)Imbalance
Timely response? is highly imbalanced (89.8%)Imbalance
Sub-product has 235291 (5.8%) missing valuesMissing
Sub-issue has 715348 (17.8%) missing valuesMissing
Consumer complaint narrative has 2568404 (63.8%) missing valuesMissing
Company public response has 2168295 (53.8%) missing valuesMissing
State has 43121 (1.1%) missing valuesMissing
Tags has 3605729 (89.5%) missing valuesMissing
Consumer consent provided? has 896805 (22.3%) missing valuesMissing
Consumer disputed? has 3260172 (80.9%) missing valuesMissing
Complaint ID has unique valuesUnique

Reproduction

Analysis started2023-09-24 07:11:27.692838
Analysis finished2023-09-24 07:33:07.729547
Duration21 minutes and 40.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct4295
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
Minimum2011-12-01 00:00:00
Maximum2023-09-05 00:00:00
2023-09-24T15:33:07.841625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-24T15:33:08.013971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Product
Categorical

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
Credit reporting, credit repair services, or other personal consumer reports
2162845 
Debt collection
503401 
Mortgage
383137 
Credit card or prepaid card
 
205725
Checking or savings account
 
180437
Other values (16)
592985 

Length

Max length76
Median length76
Mean length49.201466
Min length8

Characters and Unicode

Total characters198209580
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPayday loan, title loan, or personal loan
2nd rowCredit reporting, credit repair services, or other personal consumer reports
3rd rowCredit reporting, credit repair services, or other personal consumer reports
4th rowCredit card or prepaid card
5th rowCredit reporting, credit repair services, or other personal consumer reports

Common Values

ValueCountFrequency (%)
Credit reporting, credit repair services, or other personal consumer reports 2162845
53.7%
Debt collection 503401
 
12.5%
Mortgage 383137
 
9.5%
Credit card or prepaid card 205725
 
5.1%
Checking or savings account 180437
 
4.5%
Credit reporting 140429
 
3.5%
Credit card 89569
 
2.2%
Bank account or service 86205
 
2.1%
Student loan 76153
 
1.9%
Money transfer, virtual currency, or money service 58142
 
1.4%
Other values (11) 142487
 
3.5%

Length

2023-09-24T15:33:08.186672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
credit 4778879
17.9%
or 2788469
10.4%
reporting 2320726
8.7%
consumer 2211872
8.3%
personal 2210866
8.3%
other 2181355
8.2%
reports 2180297
8.1%
repair 2162845
8.1%
services 2162845
8.1%
card 504845
 
1.9%
Other values (23) 3250264
12.1%

Most occurring characters

ValueCountFrequency (%)
r 31206432
15.7%
e 24981675
12.6%
22724733
11.5%
o 15922832
8.0%
t 13452966
 
6.8%
i 12782451
 
6.4%
s 11550934
 
5.8%
p 9290010
 
4.7%
c 9041262
 
4.6%
n 8534293
 
4.3%
Other values (22) 38721992
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 166921600
84.2%
Space Separator 22724733
 
11.5%
Other Punctuation 4503142
 
2.3%
Uppercase Letter 4060105
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 31206432
18.7%
e 24981675
15.0%
o 15922832
9.5%
t 13452966
8.1%
i 12782451
7.7%
s 11550934
 
6.9%
p 9290010
 
5.6%
c 9041262
 
5.4%
n 8534293
 
5.1%
a 6499774
 
3.9%
Other values (11) 23658971
14.2%
Uppercase Letter
ValueCountFrequency (%)
C 2828032
69.7%
D 503415
 
12.4%
M 446633
 
11.0%
B 86205
 
2.1%
S 76153
 
1.9%
V 47098
 
1.2%
P 39936
 
1.0%
L 31575
 
0.8%
O 1058
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22724733
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4503142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 170981705
86.3%
Common 27227875
 
13.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 31206432
18.3%
e 24981675
14.6%
o 15922832
9.3%
t 13452966
7.9%
i 12782451
7.5%
s 11550934
 
6.8%
p 9290010
 
5.4%
c 9041262
 
5.3%
n 8534293
 
5.0%
a 6499774
 
3.8%
Other values (20) 27719076
16.2%
Common
ValueCountFrequency (%)
22724733
83.5%
, 4503142
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198209580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 31206432
15.7%
e 24981675
12.6%
22724733
11.5%
o 15922832
8.0%
t 13452966
 
6.8%
i 12782451
 
6.4%
s 11550934
 
5.8%
p 9290010
 
4.7%
c 9041262
 
4.6%
n 8534293
 
4.3%
Other values (22) 38721992
19.5%

Sub-product
Text

MISSING 

Distinct81
Distinct (%)< 0.1%
Missing235291
Missing (%)5.8%
Memory size30.7 MiB
2023-09-24T15:33:08.511436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length48
Median length16
Mean length17.986389
Min length4

Characters and Unicode

Total characters68226672
Distinct characters53
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowInstallment loan
2nd rowCredit reporting
3rd rowCredit reporting
4th rowStore credit card
5th rowCredit reporting
ValueCountFrequency (%)
credit 2493249
26.4%
reporting 2158991
22.9%
card 480872
 
5.1%
mortgage 373612
 
4.0%
other 299902
 
3.2%
debt 276648
 
2.9%
account 222131
 
2.4%
or 221277
 
2.3%
loan 216915
 
2.3%
checking 202775
 
2.2%
Other values (99) 2483290
26.3%
2023-09-24T15:33:08.934431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 9138052
13.4%
e 7983617
11.7%
t 6790900
10.0%
i 5643616
 
8.3%
5636423
 
8.3%
o 4561357
 
6.7%
n 4292072
 
6.3%
d 3789396
 
5.6%
g 3369469
 
4.9%
C 2696278
 
4.0%
Other values (43) 14325492
21.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 57862868
84.8%
Space Separator 5636423
 
8.3%
Uppercase Letter 4083048
 
6.0%
Other Punctuation 242512
 
0.4%
Dash Punctuation 192425
 
0.3%
Open Punctuation 104610
 
0.2%
Close Punctuation 104610
 
0.2%
Final Punctuation 176
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 9138052
15.8%
e 7983617
13.8%
t 6790900
11.7%
i 5643616
9.8%
o 4561357
7.9%
n 4292072
7.4%
d 3789396
6.5%
g 3369469
 
5.8%
p 2658396
 
4.6%
a 2364837
 
4.1%
Other values (15) 7271156
12.6%
Uppercase Letter
ValueCountFrequency (%)
C 2696278
66.0%
O 309017
 
7.6%
G 179877
 
4.4%
I 144714
 
3.5%
M 134130
 
3.3%
A 107615
 
2.6%
F 94998
 
2.3%
H 78445
 
1.9%
S 65496
 
1.6%
L 56149
 
1.4%
Other values (9) 216329
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 133572
55.1%
, 89049
36.7%
/ 17925
 
7.4%
' 1966
 
0.8%
Space Separator
ValueCountFrequency (%)
5636423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104610
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104610
100.0%
Final Punctuation
ValueCountFrequency (%)
176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61945916
90.8%
Common 6280756
 
9.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 9138052
14.8%
e 7983617
12.9%
t 6790900
11.0%
i 5643616
9.1%
o 4561357
7.4%
n 4292072
 
6.9%
d 3789396
 
6.1%
g 3369469
 
5.4%
C 2696278
 
4.4%
p 2658396
 
4.3%
Other values (34) 11022763
17.8%
Common
ValueCountFrequency (%)
5636423
89.7%
- 192425
 
3.1%
. 133572
 
2.1%
( 104610
 
1.7%
) 104610
 
1.7%
, 89049
 
1.4%
/ 17925
 
0.3%
' 1966
 
< 0.1%
176
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68226496
> 99.9%
Punctuation 176
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 9138052
13.4%
e 7983617
11.7%
t 6790900
10.0%
i 5643616
 
8.3%
5636423
 
8.3%
o 4561357
 
6.7%
n 4292072
 
6.3%
d 3789396
 
5.6%
g 3369469
 
4.9%
C 2696278
 
4.0%
Other values (42) 14325316
21.0%
Punctuation
ValueCountFrequency (%)
176
100.0%

Issue
Text

Distinct172
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
2023-09-24T15:33:09.237718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length80
Median length63
Mean length39.792752
Min length4

Characters and Unicode

Total characters160306295
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowProblem when making payments
2nd rowIncorrect information on your report
3rd rowImproper use of your report
4th rowFees or interest
5th rowProblem with a credit reporting company's investigation into an existing problem
ValueCountFrequency (%)
your 1755191
 
7.6%
report 1695376
 
7.3%
problem 1340534
 
5.8%
on 1211000
 
5.2%
information 1153754
 
5.0%
incorrect 1146671
 
4.9%
credit 837659
 
3.6%
an 782069
 
3.4%
a 752868
 
3.2%
with 739774
 
3.2%
Other values (242) 11802426
50.8%
2023-09-24T15:33:09.717400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19188792
12.0%
o 17633335
11.0%
r 15735070
9.8%
t 13691377
 
8.5%
n 13042924
 
8.1%
e 12682822
 
7.9%
i 10917061
 
6.8%
a 6976578
 
4.4%
c 6446806
 
4.0%
p 5609440
 
3.5%
Other values (39) 38382090
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 135682703
84.6%
Space Separator 19188792
 
12.0%
Uppercase Letter 4097522
 
2.6%
Other Punctuation 1336193
 
0.8%
Dash Punctuation 1085
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 17633335
13.0%
r 15735070
11.6%
t 13691377
10.1%
n 13042924
9.6%
e 12682822
9.3%
i 10917061
 
8.0%
a 6976578
 
5.1%
c 6446806
 
4.8%
p 5609440
 
4.1%
m 4878390
 
3.6%
Other values (15) 28068900
20.7%
Uppercase Letter
ValueCountFrequency (%)
I 1692878
41.3%
P 768824
18.8%
A 283051
 
6.9%
C 262660
 
6.4%
L 194635
 
4.8%
M 172862
 
4.2%
T 147137
 
3.6%
D 106869
 
2.6%
F 95947
 
2.3%
S 80628
 
2.0%
Other values (8) 292031
 
7.1%
Other Punctuation
ValueCountFrequency (%)
' 697573
52.2%
, 569949
42.7%
/ 67346
 
5.0%
. 1325
 
0.1%
Space Separator
ValueCountFrequency (%)
19188792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1085
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 139780225
87.2%
Common 20526070
 
12.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 17633335
12.6%
r 15735070
11.3%
t 13691377
9.8%
n 13042924
9.3%
e 12682822
 
9.1%
i 10917061
 
7.8%
a 6976578
 
5.0%
c 6446806
 
4.6%
p 5609440
 
4.0%
m 4878390
 
3.5%
Other values (33) 32166422
23.0%
Common
ValueCountFrequency (%)
19188792
93.5%
' 697573
 
3.4%
, 569949
 
2.8%
/ 67346
 
0.3%
. 1325
 
< 0.1%
- 1085
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160306295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19188792
12.0%
o 17633335
11.0%
r 15735070
9.8%
t 13691377
 
8.5%
n 13042924
 
8.1%
e 12682822
 
7.9%
i 10917061
 
6.8%
a 6976578
 
4.4%
c 6446806
 
4.0%
p 5609440
 
3.5%
Other values (39) 38382090
23.9%

Sub-issue
Text

MISSING 

Distinct248
Distinct (%)< 0.1%
Missing715348
Missing (%)17.8%
Memory size30.7 MiB
2023-09-24T15:33:10.052499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length145
Median length83
Mean length38.881701
Min length9

Characters and Unicode

Total characters128822151
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)< 0.1%

Sample

1st rowAccount information incorrect
2nd rowReporting company used your report improperly
3rd rowCharged too much interest
4th rowTheir investigation did not fix an error on your report
5th rowAttempted to collect wrong amount
ValueCountFrequency (%)
information 1062112
 
5.3%
your 996501
 
5.0%
report 906798
 
4.5%
to 901711
 
4.5%
not 688665
 
3.4%
someone 684258
 
3.4%
else 684258
 
3.4%
belongs 684258
 
3.4%
investigation 572869
 
2.9%
on 556199
 
2.8%
Other values (446) 12254844
61.3%
2023-09-24T15:33:10.521157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16679291
12.9%
o 14131660
11.0%
e 12115536
 
9.4%
t 10307649
 
8.0%
n 10126591
 
7.9%
r 10086882
 
7.8%
i 8273144
 
6.4%
s 5964596
 
4.6%
a 5287274
 
4.1%
u 3477121
 
2.7%
Other values (46) 32372407
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 108075810
83.9%
Space Separator 16679291
 
12.9%
Uppercase Letter 3395719
 
2.6%
Other Punctuation 391679
 
0.3%
Decimal Number 270380
 
0.2%
Dash Punctuation 9272
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 14131660
13.1%
e 12115536
11.2%
t 10307649
9.5%
n 10126591
9.4%
r 10086882
9.3%
i 8273144
 
7.7%
s 5964596
 
5.5%
a 5287274
 
4.9%
u 3477121
 
3.2%
m 3350326
 
3.1%
Other values (16) 24955031
23.1%
Uppercase Letter
ValueCountFrequency (%)
I 880158
25.9%
T 435005
12.8%
D 400971
11.8%
R 388979
11.5%
A 353843
10.4%
C 334658
 
9.9%
P 242597
 
7.1%
W 95616
 
2.8%
F 61246
 
1.8%
O 60220
 
1.8%
Other values (11) 142426
 
4.2%
Decimal Number
ValueCountFrequency (%)
3 132968
49.2%
0 132968
49.2%
8 2222
 
0.8%
9 2222
 
0.8%
Other Punctuation
ValueCountFrequency (%)
' 344586
88.0%
, 29285
 
7.5%
/ 17808
 
4.5%
Space Separator
ValueCountFrequency (%)
16679291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 111471529
86.5%
Common 17350622
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 14131660
12.7%
e 12115536
10.9%
t 10307649
 
9.2%
n 10126591
 
9.1%
r 10086882
 
9.0%
i 8273144
 
7.4%
s 5964596
 
5.4%
a 5287274
 
4.7%
u 3477121
 
3.1%
m 3350326
 
3.0%
Other values (37) 28350750
25.4%
Common
ValueCountFrequency (%)
16679291
96.1%
' 344586
 
2.0%
3 132968
 
0.8%
0 132968
 
0.8%
, 29285
 
0.2%
/ 17808
 
0.1%
- 9272
 
0.1%
8 2222
 
< 0.1%
9 2222
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128822151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16679291
12.9%
o 14131660
11.0%
e 12115536
 
9.4%
t 10307649
 
8.0%
n 10126591
 
7.9%
r 10086882
 
7.8%
i 8273144
 
6.4%
s 5964596
 
4.6%
a 5287274
 
4.1%
u 3477121
 
2.7%
Other values (46) 32372407
25.1%
Distinct1239244
Distinct (%)84.9%
Missing2568404
Missing (%)63.8%
Memory size30.7 MiB
2023-09-24T15:33:11.492874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length32616
Median length17999
Mean length1030.8442
Min length4

Characters and Unicode

Total characters1505162460
Distinct characters130
Distinct categories19 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1162008 ?
Unique (%)79.6%

Sample

1st rowI do not have any knowledge of applying for a credit card with XXXX. Nor do I have a contract with the debt collector. I demand this inquiry be removed from my credit report.
2nd rowChecking account opened XX/XX/XXXX. I am a previous customer of BMO Harris ( last account closed XX/XX/XXXX ) and have existing login credentials. I attempted to log into my new account on XX/XX/XXXX using my existing login credentials and kept getting a message that my credentials weren't matching what they had on file. I called and spoke with CSR XXXX on XX/XX/XXXX. XXXX advised that I couldn't access my online account because my initial deposit hadn't yet hit the account, and to give it a couple days ; once my account was funded, I'd be able to access it. When I was still unable to access it on XX/XX/XXXX, I called again and spoke with CSR XXXX on XX/XX/XXXX. He looked into it and couldn't determine what the problem was ; he said he would open a ticket with their tech department and he would call me back in 2-3 business days to let me know the status. I never heard from him again. On XX/XX/XXXX, I called again, this time requesting to speak to a manager. I was transferred to, and spoke with, XXXX XXXX ( her phone number is XXXX ). She also could not determine what the problem was in my accessing the account ; she said she would submit an expedited request with the tech team and she assured me that she would call me back by the end of that day. I never heard from her again. I left voice mail messages for XXXX on XX/XX/XXXX, XX/XX/XXXX, and XX/XX/XXXX and never received a return call. As of this morning, I still can not access my online account, although two deposits have been made ( one of which is a payroll direct deposit ).
3rd rowI had workable credit card business relationship with Aspire credit card co. I sought to close my cc acct back in XXXX of XXXX. I contacted Aspire by phone, made full payment to close this credit card. It took Aspire over one month to withdraw the final payment. Subsequently my closed Aspire cc incurred a penalty fee of {$190.00}. They sold it to a collections agency, XXXX XXXX and profited off this. XXXX XXXX has humanely worked with me but expect a XXXX payment. This should be a XXXX balance without profiting off collection sale of my cc account.
4th rowIn accordance with the Fair Credit Reporting act. The List of accounts below has violated my federally protected consumer rights to privacy and confidentiality under 15 USC 1681. XXXX XXXX XXXX, XXXX XXXX XXXX XXXX XXXX, XXXX XXXX XXXX XXXX XXXX XXXX, has violated my rights. 15 U.S.C 1681 section 602 A. States I have the right to privacy. 15 U.S.C 1681 Section 604 A Section 2 : It also states a consumer reporting agency can not furnish a account without my written instructions 15 U.S.C 1681c. ( a ) ( 5 ) Section States : no consumer reporting agency may make any consumer report containing any of the following items of information Any other adverse item of information, other than records of convictions of crimes which antedates the report by more than seven years. 15 U.S.C. 1681s-2 ( A ) ( 1 ) A person shall not furnish any information relating to a consumer to any consumer reporting agency if the person knows or has reasonable cause to believe that the information is inaccurate.
5th rowMy name is XXXX XXXX XXXX XXXX this complaint is not made in error neither is it being made by a third party.I declare under penalty of perjury I am alleging that a person or company- without my authorization- from unauthorized use of my social security number and card used my personal identifying information to apply for goods, services, or money ; and, was successful in creating some accounts. I have no knowledge of this and All is being investigated by the FTC.
ValueCountFrequency (%)
xxxx 16726665
 
6.2%
the 10678845
 
4.0%
to 8583026
 
3.2%
i 8524732
 
3.2%
7326672
 
2.7%
and 6777435
 
2.5%
my 5533615
 
2.0%
a 5531303
 
2.0%
of 4801245
 
1.8%
that 3782104
 
1.4%
Other values (348946) 192021867
71.0%
2023-09-24T15:33:12.432525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269870005
17.9%
e 127845192
 
8.5%
t 103812614
 
6.9%
a 86110183
 
5.7%
X 84517321
 
5.6%
o 79771219
 
5.3%
n 77841701
 
5.2%
i 71396820
 
4.7%
r 62670696
 
4.2%
s 55970952
 
3.7%
Other values (120) 485355757
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1026996151
68.2%
Space Separator 269870477
 
17.9%
Uppercase Letter 147508769
 
9.8%
Other Punctuation 31230063
 
2.1%
Decimal Number 17268463
 
1.1%
Control 3366197
 
0.2%
Close Punctuation 3164024
 
0.2%
Open Punctuation 3090328
 
0.2%
Currency Symbol 1301139
 
0.1%
Dash Punctuation 1169957
 
0.1%
Other values (9) 196892
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 127845192
12.4%
t 103812614
 
10.1%
a 86110183
 
8.4%
o 79771219
 
7.8%
n 77841701
 
7.6%
i 71396820
 
7.0%
r 62670696
 
6.1%
s 55970952
 
5.4%
d 45449620
 
4.4%
h 44880667
 
4.4%
Other values (17) 271246487
26.4%
Uppercase Letter
ValueCountFrequency (%)
X 84517321
57.3%
I 12086117
 
8.2%
T 6095525
 
4.1%
A 5428177
 
3.7%
C 4367773
 
3.0%
E 4293203
 
2.9%
S 3949723
 
2.7%
O 3197014
 
2.2%
N 3040971
 
2.1%
R 2839301
 
1.9%
Other values (16) 17693644
 
12.0%
Other Punctuation
ValueCountFrequency (%)
. 14576506
46.7%
, 7135723
22.8%
/ 4499957
 
14.4%
' 1816268
 
5.8%
: 1211168
 
3.9%
! 364679
 
1.2%
" 345370
 
1.1%
; 335049
 
1.1%
# 334645
 
1.1%
? 228300
 
0.7%
Other values (8) 382398
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 6226175
36.1%
1 3277279
19.0%
2 2165337
 
12.5%
6 1468341
 
8.5%
5 1158729
 
6.7%
3 831753
 
4.8%
8 791387
 
4.6%
4 566267
 
3.3%
9 467277
 
2.7%
7 315918
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 27507
27.2%
= 23836
23.6%
> 21944
21.7%
< 13663
13.5%
| 9411
 
9.3%
~ 4673
 
4.6%
6
 
< 0.1%
2
 
< 0.1%
Control
ValueCountFrequency (%)
3354447
99.7%
11731
 
0.3%
 8
 
< 0.1%
Œ 8
 
< 0.1%
 2
 
< 0.1%
‚ 1
 
< 0.1%
Private Use
ValueCountFrequency (%)
17
50.0%
10
29.4%
3
 
8.8%
2
 
5.9%
1
 
2.9%
1
 
2.9%
Space Separator
ValueCountFrequency (%)
269870005
> 99.9%
  464
 
< 0.1%
5
 
< 0.1%
2
 
< 0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1169573
> 99.9%
223
 
< 0.1%
160
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1887593
59.7%
} 1242911
39.3%
] 33520
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 1813571
58.7%
{ 1243349
40.2%
[ 33408
 
1.1%
Format
ValueCountFrequency (%)
5
55.6%
3
33.3%
1
 
11.1%
Modifier Symbol
ValueCountFrequency (%)
` 1823
53.5%
^ 1587
46.5%
Final Punctuation
ValueCountFrequency (%)
1166
70.2%
494
29.8%
Initial Punctuation
ValueCountFrequency (%)
516
95.6%
24
 
4.4%
Other Symbol
ValueCountFrequency (%)
¦ 2
50.0%
® 2
50.0%
Currency Symbol
ValueCountFrequency (%)
$ 1301139
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 90180
100.0%
Other Number
ValueCountFrequency (%)
½ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1174504920
78.0%
Common 330657506
 
22.0%
Unknown 34
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
269870005
81.6%
. 14576506
 
4.4%
, 7135723
 
2.2%
0 6226175
 
1.9%
/ 4499957
 
1.4%
3354447
 
1.0%
1 3277279
 
1.0%
2 2165337
 
0.7%
) 1887593
 
0.6%
' 1816268
 
0.5%
Other values (61) 15848216
 
4.8%
Latin
ValueCountFrequency (%)
e 127845192
 
10.9%
t 103812614
 
8.8%
a 86110183
 
7.3%
X 84517321
 
7.2%
o 79771219
 
6.8%
n 77841701
 
6.6%
i 71396820
 
6.1%
r 62670696
 
5.3%
s 55970952
 
4.8%
d 45449620
 
3.9%
Other values (43) 379118602
32.3%
Unknown
ValueCountFrequency (%)
17
50.0%
10
29.4%
3
 
8.8%
2
 
5.9%
1
 
2.9%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1505158853
> 99.9%
Punctuation 2904
 
< 0.1%
None 663
 
< 0.1%
PUA 34
 
< 0.1%
Math Operators 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269870005
17.9%
e 127845192
 
8.5%
t 103812614
 
6.9%
a 86110183
 
5.7%
X 84517321
 
5.6%
o 79771219
 
5.3%
n 77841701
 
5.2%
i 71396820
 
4.7%
r 62670696
 
4.2%
s 55970952
 
3.7%
Other values (88) 485352150
32.2%
Punctuation
ValueCountFrequency (%)
1166
40.2%
516
17.8%
494
17.0%
275
 
9.5%
223
 
7.7%
160
 
5.5%
28
 
1.0%
24
 
0.8%
5
 
0.2%
5
 
0.2%
Other values (5) 8
 
0.3%
None
ValueCountFrequency (%)
  464
70.0%
§ 166
 
25.0%
½ 13
 
2.0%
Œ 8
 
1.2%
é 3
 
0.5%
2
 
0.3%
¦ 2
 
0.3%
® 2
 
0.3%
 2
 
0.3%
‚ 1
 
0.2%
PUA
ValueCountFrequency (%)
17
50.0%
10
29.4%
3
 
8.8%
2
 
5.9%
1
 
2.9%
1
 
2.9%
Math Operators
ValueCountFrequency (%)
6
100.0%

Company public response
Categorical

IMBALANCE  MISSING 

Distinct11
Distinct (%)< 0.1%
Missing2168295
Missing (%)53.8%
Memory size30.7 MiB
Company has responded to the consumer and the CFPB and chooses not to provide a public response
1632907 
Company believes it acted appropriately as authorized by contract or law
 
126657
Company chooses not to provide a public response
 
52473
Company believes the complaint is the result of a misunderstanding
 
12312
Company disputes the facts presented in the complaint
 
10035
Other values (6)
 
25851

Length

Max length119
Median length95
Mean length91.570364
Min length48

Characters and Unicode

Total characters170342396
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCompany has responded to the consumer and the CFPB and chooses not to provide a public response
2nd rowCompany has responded to the consumer and the CFPB and chooses not to provide a public response
3rd rowCompany has responded to the consumer and the CFPB and chooses not to provide a public response
4th rowCompany has responded to the consumer and the CFPB and chooses not to provide a public response
5th rowCompany believes it acted appropriately as authorized by contract or law

Common Values

ValueCountFrequency (%)
Company has responded to the consumer and the CFPB and chooses not to provide a public response 1632907
40.5%
Company believes it acted appropriately as authorized by contract or law 126657
 
3.1%
Company chooses not to provide a public response 52473
 
1.3%
Company believes the complaint is the result of a misunderstanding 12312
 
0.3%
Company disputes the facts presented in the complaint 10035
 
0.2%
Company believes complaint caused principally by actions of third party outside the control or direction of the company 7509
 
0.2%
Company believes complaint is the result of an isolated error 6068
 
0.2%
Company believes complaint represents an opportunity for improvement to better serve consumers 4562
 
0.1%
Company can't verify or dispute the facts in the complaint 4181
 
0.1%
Company believes the complaint provided an opportunity to answer consumer's questions 3423
 
0.1%
(Missing) 2168295
53.8%

Length

2023-09-24T15:33:12.596200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 3343379
11.1%
to 3326380
11.0%
and 3265814
 
10.8%
company 1867744
 
6.2%
a 1697800
 
5.6%
provide 1685380
 
5.6%
response 1685380
 
5.6%
public 1685380
 
5.6%
chooses 1685380
 
5.6%
not 1685380
 
5.6%
Other values (52) 8178942
27.2%

Most occurring characters

ValueCountFrequency (%)
28246724
16.6%
o 17576790
10.3%
e 16019217
 
9.4%
s 12106159
 
7.1%
n 12086600
 
7.1%
a 9483459
 
5.6%
t 9325598
 
5.5%
p 9060471
 
5.3%
d 8562471
 
5.0%
r 7432826
 
4.4%
Other values (19) 40442081
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133696205
78.5%
Space Separator 28246724
 
16.6%
Uppercase Letter 8391863
 
4.9%
Other Punctuation 7604
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 17576790
13.1%
e 16019217
12.0%
s 12106159
9.1%
n 12086600
9.0%
a 9483459
 
7.1%
t 9325598
 
7.0%
p 9060471
 
6.8%
d 8562471
 
6.4%
r 7432826
 
5.6%
h 6795832
 
5.1%
Other values (13) 25246782
18.9%
Uppercase Letter
ValueCountFrequency (%)
C 3493142
41.6%
F 1632907
19.5%
P 1632907
19.5%
B 1632907
19.5%
Space Separator
ValueCountFrequency (%)
28246724
100.0%
Other Punctuation
ValueCountFrequency (%)
' 7604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 142088068
83.4%
Common 28254328
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 17576790
12.4%
e 16019217
11.3%
s 12106159
 
8.5%
n 12086600
 
8.5%
a 9483459
 
6.7%
t 9325598
 
6.6%
p 9060471
 
6.4%
d 8562471
 
6.0%
r 7432826
 
5.2%
h 6795832
 
4.8%
Other values (17) 33638645
23.7%
Common
ValueCountFrequency (%)
28246724
> 99.9%
' 7604
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170342396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28246724
16.6%
o 17576790
10.3%
e 16019217
 
9.4%
s 12106159
 
7.1%
n 12086600
 
7.1%
a 9483459
 
5.6%
t 9325598
 
5.5%
p 9060471
 
5.3%
d 8562471
 
5.0%
r 7432826
 
4.4%
Other values (19) 40442081
23.7%
Distinct6909
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
2023-09-24T15:33:12.872106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length88
Median length82
Mean length26.272977
Min length3

Characters and Unicode

Total characters105841476
Distinct characters84
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1361 ?
Unique (%)< 0.1%

Sample

1st rowOneMain Finance Corporation
2nd rowExperian Information Solutions Inc.
3rd rowMaximus Education, LLC dba Aidvantage
4th rowCITIBANK, N.A.
5th rowFORD MOTOR CREDIT CO.
ValueCountFrequency (%)
inc 2578789
18.9%
holdings 798561
 
5.9%
equifax 766683
 
5.6%
solutions 688499
 
5.0%
intermediate 686100
 
5.0%
transunion 681580
 
5.0%
information 632917
 
4.6%
experian 625425
 
4.6%
financial 345565
 
2.5%
llc 284748
 
2.1%
Other values (5623) 5559072
40.7%
2023-09-24T15:33:13.285246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9618539
 
9.1%
I 8828965
 
8.3%
N 7718429
 
7.3%
A 5672474
 
5.4%
E 4801942
 
4.5%
n 4791785
 
4.5%
C 4159158
 
3.9%
O 3834939
 
3.6%
S 3630251
 
3.4%
o 3588799
 
3.4%
Other values (74) 49196195
46.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 60477593
57.1%
Lowercase Letter 30052007
28.4%
Space Separator 9619561
 
9.1%
Other Punctuation 5646993
 
5.3%
Open Punctuation 15819
 
< 0.1%
Close Punctuation 15819
 
< 0.1%
Dash Punctuation 8095
 
< 0.1%
Decimal Number 5491
 
< 0.1%
Final Punctuation 50
 
< 0.1%
Math Symbol 46
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4791785
15.9%
o 3588799
11.9%
i 3143413
10.5%
a 2440959
8.1%
r 2185622
7.3%
e 2084557
 
6.9%
t 2084333
 
6.9%
c 1577410
 
5.2%
s 1374678
 
4.6%
l 1322148
 
4.4%
Other values (18) 5458303
18.2%
Uppercase Letter
ValueCountFrequency (%)
I 8828965
14.6%
N 7718429
12.8%
A 5672474
9.4%
E 4801942
 
7.9%
C 4159158
 
6.9%
O 3834939
 
6.3%
S 3630251
 
6.0%
T 3310043
 
5.5%
R 2951304
 
4.9%
L 2399425
 
4.0%
Other values (16) 13170663
21.8%
Other Punctuation
ValueCountFrequency (%)
. 3062191
54.2%
, 2277033
40.3%
& 277313
 
4.9%
/ 25483
 
0.5%
' 4378
 
0.1%
* 323
 
< 0.1%
" 240
 
< 0.1%
: 28
 
< 0.1%
\ 2
 
< 0.1%
! 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 1895
34.5%
1 1858
33.8%
8 520
 
9.5%
3 277
 
5.0%
4 245
 
4.5%
6 215
 
3.9%
0 200
 
3.6%
9 199
 
3.6%
5 61
 
1.1%
7 21
 
0.4%
Space Separator
ValueCountFrequency (%)
9618539
> 99.9%
  1022
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 7964
98.4%
131
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 28
60.9%
| 18
39.1%
Open Punctuation
ValueCountFrequency (%)
( 15819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15819
100.0%
Final Punctuation
ValueCountFrequency (%)
50
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 90529600
85.5%
Common 15311876
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 8828965
 
9.8%
N 7718429
 
8.5%
A 5672474
 
6.3%
E 4801942
 
5.3%
n 4791785
 
5.3%
C 4159158
 
4.6%
O 3834939
 
4.2%
S 3630251
 
4.0%
o 3588799
 
4.0%
T 3310043
 
3.7%
Other values (44) 40192815
44.4%
Common
ValueCountFrequency (%)
9618539
62.8%
. 3062191
 
20.0%
, 2277033
 
14.9%
& 277313
 
1.8%
/ 25483
 
0.2%
( 15819
 
0.1%
) 15819
 
0.1%
- 7964
 
0.1%
' 4378
 
< 0.1%
2 1895
 
< 0.1%
Other values (20) 5442
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105839933
> 99.9%
None 1362
 
< 0.1%
Punctuation 181
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9618539
 
9.1%
I 8828965
 
8.3%
N 7718429
 
7.3%
A 5672474
 
5.4%
E 4801942
 
4.5%
n 4791785
 
4.5%
C 4159158
 
3.9%
O 3834939
 
3.6%
S 3630251
 
3.4%
o 3588799
 
3.4%
Other values (69) 49194652
46.5%
None
ValueCountFrequency (%)
  1022
75.0%
à 339
 
24.9%
é 1
 
0.1%
Punctuation
ValueCountFrequency (%)
131
72.4%
50
 
27.6%

State
Text

MISSING 

Distinct63
Distinct (%)< 0.1%
Missing43121
Missing (%)1.1%
Memory size30.7 MiB
2023-09-24T15:33:13.494315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length36
Median length2
Mean length2.0030115
Min length2

Characters and Unicode

Total characters7982820
Distinct characters25
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNC
2nd rowGA
3rd rowOH
4th rowKY
5th rowFL
ValueCountFrequency (%)
ca 471202
 
11.8%
fl 464118
 
11.6%
tx 411218
 
10.3%
ga 267910
 
6.7%
ny 258490
 
6.5%
pa 187765
 
4.7%
il 160862
 
4.0%
nj 135529
 
3.4%
nc 132215
 
3.3%
md 106871
 
2.7%
Other values (57) 1390641
34.9%
2023-09-24T15:33:13.809478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1401948
17.6%
C 774065
9.7%
L 771167
9.7%
N 768305
9.6%
T 551156
 
6.9%
F 464233
 
5.8%
X 411218
 
5.2%
M 399750
 
5.0%
I 368746
 
4.6%
Y 283309
 
3.5%
Other values (15) 1788923
22.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7981408
> 99.9%
Space Separator 1412
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1401948
17.6%
C 774065
9.7%
L 771167
9.7%
N 768305
9.6%
T 551156
 
6.9%
F 464233
 
5.8%
X 411218
 
5.2%
M 399750
 
5.0%
I 368746
 
4.6%
Y 283309
 
3.5%
Other values (14) 1787511
22.4%
Space Separator
ValueCountFrequency (%)
1412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7981408
> 99.9%
Common 1412
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1401948
17.6%
C 774065
9.7%
L 771167
9.7%
N 768305
9.6%
T 551156
 
6.9%
F 464233
 
5.8%
X 411218
 
5.2%
M 399750
 
5.0%
I 368746
 
4.6%
Y 283309
 
3.5%
Other values (14) 1787511
22.4%
Common
ValueCountFrequency (%)
1412
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7982820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1401948
17.6%
C 774065
9.7%
L 771167
9.7%
N 768305
9.6%
T 551156
 
6.9%
F 464233
 
5.8%
X 411218
 
5.2%
M 399750
 
5.0%
I 368746
 
4.6%
Y 283309
 
3.5%
Other values (15) 1788923
22.4%
Distinct33059
Distinct (%)0.8%
Missing30208
Missing (%)0.7%
Memory size30.7 MiB
2023-09-24T15:33:14.145944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters19991610
Distinct characters21
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5960 ?
Unique (%)0.1%

Sample

1st row27407
2nd row30318
3rd row43035
4th row41018
5th row336XX
ValueCountFrequency (%)
xxxxx 100549
 
2.5%
30349 7164
 
0.2%
35405 5616
 
0.1%
19143 5341
 
0.1%
33025 5144
 
0.1%
77449 5051
 
0.1%
33311 4726
 
0.1%
604xx 4641
 
0.1%
19120 4626
 
0.1%
30331 4514
 
0.1%
Other values (33050) 3850951
96.3%
2023-09-24T15:33:14.568011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2869793
14.4%
3 2537205
12.7%
1 2430797
12.2%
2 2151054
10.8%
7 1734932
8.7%
4 1604407
8.0%
9 1440240
7.2%
5 1385922
6.9%
6 1368121
6.8%
8 1301452
6.5%
Other values (11) 1167687
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18823923
94.2%
Uppercase Letter 1167611
 
5.8%
Dash Punctuation 57
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Modifier Symbol 3
 
< 0.1%
Currency Symbol 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2869793
15.2%
3 2537205
13.5%
1 2430797
12.9%
2 2151054
11.4%
7 1734932
9.2%
4 1604407
8.5%
9 1440240
7.7%
5 1385922
7.4%
6 1368121
7.3%
8 1301452
6.9%
Other Punctuation
ValueCountFrequency (%)
* 3
42.9%
/ 2
28.6%
. 1
 
14.3%
! 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
X 1167611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18823999
94.2%
Latin 1167611
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2869793
15.2%
3 2537205
13.5%
1 2430797
12.9%
2 2151054
11.4%
7 1734932
9.2%
4 1604407
8.5%
9 1440240
7.7%
5 1385922
7.4%
6 1368121
7.3%
8 1301452
6.9%
Other values (10) 76
 
< 0.1%
Latin
ValueCountFrequency (%)
X 1167611
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19991610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2869793
14.4%
3 2537205
12.7%
1 2430797
12.2%
2 2151054
10.8%
7 1734932
8.7%
4 1604407
8.0%
9 1440240
7.2%
5 1385922
6.9%
6 1368121
6.8%
8 1301452
6.5%
Other values (11) 1167687
5.8%

Tags
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing3605729
Missing (%)89.5%
Memory size30.7 MiB
Servicemember
244428 
Older American
143587 
Older American, Servicemember
34786 

Length

Max length29
Median length13
Mean length14.656011
Min length13

Characters and Unicode

Total characters6196576
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowServicemember
2nd rowOlder American
3rd rowServicemember
4th rowServicemember
5th rowServicemember

Common Values

ValueCountFrequency (%)
Servicemember 244428
 
6.1%
Older American 143587
 
3.6%
Older American, Servicemember 34786
 
0.9%
(Missing) 3605729
89.5%

Length

2023-09-24T15:33:14.713515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T15:33:14.849635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
servicemember 279214
43.9%
older 178373
28.0%
american 178373
28.0%

Most occurring characters

ValueCountFrequency (%)
e 1473602
23.8%
r 915174
14.8%
m 736801
11.9%
i 457587
 
7.4%
c 457587
 
7.4%
S 279214
 
4.5%
v 279214
 
4.5%
b 279214
 
4.5%
213159
 
3.4%
O 178373
 
2.9%
Other values (6) 926651
15.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5312671
85.7%
Uppercase Letter 635960
 
10.3%
Space Separator 213159
 
3.4%
Other Punctuation 34786
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1473602
27.7%
r 915174
17.2%
m 736801
13.9%
i 457587
 
8.6%
c 457587
 
8.6%
v 279214
 
5.3%
b 279214
 
5.3%
l 178373
 
3.4%
d 178373
 
3.4%
a 178373
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
S 279214
43.9%
O 178373
28.0%
A 178373
28.0%
Space Separator
ValueCountFrequency (%)
213159
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34786
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5948631
96.0%
Common 247945
 
4.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1473602
24.8%
r 915174
15.4%
m 736801
12.4%
i 457587
 
7.7%
c 457587
 
7.7%
S 279214
 
4.7%
v 279214
 
4.7%
b 279214
 
4.7%
O 178373
 
3.0%
l 178373
 
3.0%
Other values (4) 713492
12.0%
Common
ValueCountFrequency (%)
213159
86.0%
, 34786
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6196576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1473602
23.8%
r 915174
14.8%
m 736801
11.9%
i 457587
 
7.4%
c 457587
 
7.4%
S 279214
 
4.5%
v 279214
 
4.5%
b 279214
 
4.5%
213159
 
3.4%
O 178373
 
2.9%
Other values (6) 926651
15.0%

Consumer consent provided?
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing896805
Missing (%)22.3%
Memory size30.7 MiB
Consent not provided
1517667 
Consent provided
1460821 
Other
 
146024
Consent withdrawn
 
7213

Length

Max length20
Median length17
Mean length17.427845
Min length5

Characters and Unicode

Total characters54579217
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowConsent not provided
2nd rowOther
3rd rowConsent provided
4th rowConsent provided
5th rowOther

Common Values

ValueCountFrequency (%)
Consent not provided 1517667
37.7%
Consent provided 1460821
36.3%
Other 146024
 
3.6%
Consent withdrawn 7213
 
0.2%
(Missing) 896805
22.3%

Length

2023-09-24T15:33:14.962675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T15:33:15.090446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
consent 2985701
39.1%
provided 2978488
39.0%
not 1517667
19.9%
other 146024
 
1.9%
withdrawn 7213
 
0.1%

Most occurring characters

ValueCountFrequency (%)
n 7496282
13.7%
o 7481856
13.7%
e 6110213
11.2%
d 5964189
10.9%
t 4656605
8.5%
4503368
8.3%
r 3131725
5.7%
C 2985701
 
5.5%
s 2985701
 
5.5%
i 2985701
 
5.5%
Other values (6) 6277876
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 46944124
86.0%
Space Separator 4503368
 
8.3%
Uppercase Letter 3131725
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 7496282
16.0%
o 7481856
15.9%
e 6110213
13.0%
d 5964189
12.7%
t 4656605
9.9%
r 3131725
6.7%
s 2985701
 
6.4%
i 2985701
 
6.4%
p 2978488
 
6.3%
v 2978488
 
6.3%
Other values (3) 174876
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 2985701
95.3%
O 146024
 
4.7%
Space Separator
ValueCountFrequency (%)
4503368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 50075849
91.7%
Common 4503368
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 7496282
15.0%
o 7481856
14.9%
e 6110213
12.2%
d 5964189
11.9%
t 4656605
9.3%
r 3131725
6.3%
C 2985701
 
6.0%
s 2985701
 
6.0%
i 2985701
 
6.0%
p 2978488
 
5.9%
Other values (5) 3299388
6.6%
Common
ValueCountFrequency (%)
4503368
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54579217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 7496282
13.7%
o 7481856
13.7%
e 6110213
11.2%
d 5964189
10.9%
t 4656605
8.5%
4503368
8.3%
r 3131725
5.7%
C 2985701
 
5.5%
s 2985701
 
5.5%
i 2985701
 
5.5%
Other values (6) 6277876
11.5%

Submitted via
Categorical

IMBALANCE 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
Web
3503766 
Referral
 
242366
Phone
 
164988
Postal mail
 
90089
Fax
 
25658
Other values (2)
 
1663

Length

Max length12
Median length3
Mean length3.5646005
Min length3

Characters and Unicode

Total characters14360100
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWeb
2nd rowWeb
3rd rowWeb
4th rowPhone
5th rowWeb

Common Values

ValueCountFrequency (%)
Web 3503766
87.0%
Referral 242366
 
6.0%
Phone 164988
 
4.1%
Postal mail 90089
 
2.2%
Fax 25658
 
0.6%
Web Referral 1238
 
< 0.1%
Email 425
 
< 0.1%

Length

2023-09-24T15:33:15.190217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T15:33:15.311634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
web 3505004
85.1%
referral 243604
 
5.9%
phone 164988
 
4.0%
postal 90089
 
2.2%
mail 90089
 
2.2%
fax 25658
 
0.6%
email 425
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 4157200
28.9%
W 3505004
24.4%
b 3505004
24.4%
r 487208
 
3.4%
a 449865
 
3.1%
l 424207
 
3.0%
P 255077
 
1.8%
o 255077
 
1.8%
f 243604
 
1.7%
R 243604
 
1.7%
Other values (10) 834250
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10239005
71.3%
Uppercase Letter 4029768
 
28.1%
Space Separator 91327
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4157200
40.6%
b 3505004
34.2%
r 487208
 
4.8%
a 449865
 
4.4%
l 424207
 
4.1%
o 255077
 
2.5%
f 243604
 
2.4%
h 164988
 
1.6%
n 164988
 
1.6%
m 90514
 
0.9%
Other values (4) 296350
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
W 3505004
87.0%
P 255077
 
6.3%
R 243604
 
6.0%
F 25658
 
0.6%
E 425
 
< 0.1%
Space Separator
ValueCountFrequency (%)
91327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14268773
99.4%
Common 91327
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4157200
29.1%
W 3505004
24.6%
b 3505004
24.6%
r 487208
 
3.4%
a 449865
 
3.2%
l 424207
 
3.0%
P 255077
 
1.8%
o 255077
 
1.8%
f 243604
 
1.7%
R 243604
 
1.7%
Other values (9) 742923
 
5.2%
Common
ValueCountFrequency (%)
91327
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14360100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4157200
28.9%
W 3505004
24.4%
b 3505004
24.4%
r 487208
 
3.4%
a 449865
 
3.1%
l 424207
 
3.0%
P 255077
 
1.8%
o 255077
 
1.8%
f 243604
 
1.7%
R 243604
 
1.7%
Other values (10) 834250
 
5.8%
Distinct4244
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.7 MiB
Minimum2011-12-01 00:00:00
Maximum2023-09-05 00:00:00
2023-09-24T15:33:15.432573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-24T15:33:15.556793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Company response to consumer
Categorical

IMBALANCE 

Distinct8
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Memory size30.7 MiB
Closed with explanation
2934815 
Closed with non-monetary relief
795130 
Closed with monetary relief
 
137963
In progress
 
110474
Closed without relief
 
17868
Other values (3)
 
32275

Length

Max length31
Median length23
Mean length24.283199
Min length6

Characters and Unicode

Total characters97825476
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowClosed with explanation
2nd rowClosed with non-monetary relief
3rd rowClosed with explanation
4th rowClosed with explanation
5th rowIn progress

Common Values

ValueCountFrequency (%)
Closed with explanation 2934815
72.9%
Closed with non-monetary relief 795130
 
19.7%
Closed with monetary relief 137963
 
3.4%
In progress 110474
 
2.7%
Closed without relief 17868
 
0.4%
Closed 17611
 
0.4%
Untimely response 9360
 
0.2%
Closed with relief 5304
 
0.1%
(Missing) 5
 
< 0.1%

Length

2023-09-24T15:33:15.681728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T15:33:15.813211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
closed 3908691
30.4%
with 3873212
30.1%
explanation 2934815
22.8%
relief 956265
 
7.4%
non-monetary 795130
 
6.2%
monetary 137963
 
1.1%
in 110474
 
0.9%
progress 110474
 
0.9%
without 17868
 
0.1%
untimely 9360
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e 9827683
10.0%
8835087
 
9.0%
o 8709431
 
8.9%
n 8522177
 
8.7%
l 7809131
 
8.0%
i 7791520
 
8.0%
t 7786216
 
8.0%
a 6802723
 
7.0%
s 4148359
 
4.2%
C 3908691
 
4.0%
Other values (14) 23684458
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 84166734
86.0%
Space Separator 8835087
 
9.0%
Uppercase Letter 4028525
 
4.1%
Dash Punctuation 795130
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9827683
11.7%
o 8709431
10.3%
n 8522177
10.1%
l 7809131
9.3%
i 7791520
9.3%
t 7786216
9.3%
a 6802723
8.1%
s 4148359
 
4.9%
d 3908691
 
4.6%
w 3891080
 
4.6%
Other values (9) 14969723
17.8%
Uppercase Letter
ValueCountFrequency (%)
C 3908691
97.0%
I 110474
 
2.7%
U 9360
 
0.2%
Space Separator
ValueCountFrequency (%)
8835087
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 795130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88195259
90.2%
Common 9630217
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9827683
11.1%
o 8709431
9.9%
n 8522177
9.7%
l 7809131
8.9%
i 7791520
8.8%
t 7786216
8.8%
a 6802723
 
7.7%
s 4148359
 
4.7%
C 3908691
 
4.4%
d 3908691
 
4.4%
Other values (12) 18980637
21.5%
Common
ValueCountFrequency (%)
8835087
91.7%
- 795130
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97825476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 9827683
10.0%
8835087
 
9.0%
o 8709431
 
8.9%
n 8522177
 
8.7%
l 7809131
 
8.0%
i 7791520
 
8.0%
t 7786216
 
8.0%
a 6802723
 
7.0%
s 4148359
 
4.2%
C 3908691
 
4.0%
Other values (14) 23684458
24.2%

Timely response?
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.8 MiB
True
3974796 
False
 
53734
ValueCountFrequency (%)
True 3974796
98.7%
False 53734
 
1.3%
2023-09-24T15:33:15.946301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Consumer disputed?
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3260172
Missing (%)80.9%
Memory size7.7 MiB
False
619980 
True
 
148378
(Missing)
3260172 
ValueCountFrequency (%)
False 619980
 
15.4%
True 148378
 
3.7%
(Missing) 3260172
80.9%
2023-09-24T15:33:16.042270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Complaint ID
Real number (ℝ)

UNIQUE 

Distinct4028530
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4293194.3
Minimum1
Maximum7499298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 MiB
2023-09-24T15:33:16.203930image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile714311.45
Q12859701.2
median4217975.5
Q36104681.8
95-th percentile7210740.5
Maximum7499298
Range7499297
Interquartile range (IQR)3244980.5

Descriptive statistics

Standard deviation2013775.2
Coefficient of variation (CV)0.46906221
Kurtosis-0.95929452
Mean4293194.3
Median Absolute Deviation (MAD)1622297
Skewness-0.22487774
Sum1.7295262 × 1013
Variance4.0552905 × 1012
MonotonicityNot monotonic
2023-09-24T15:33:16.327026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7448359 1
 
< 0.1%
4006712 1
 
< 0.1%
3973369 1
 
< 0.1%
6321782 1
 
< 0.1%
3071340 1
 
< 0.1%
4006711 1
 
< 0.1%
3388381 1
 
< 0.1%
4004342 1
 
< 0.1%
3858239 1
 
< 0.1%
2635229 1
 
< 0.1%
Other values (4028520) 4028520
> 99.9%
ValueCountFrequency (%)
1 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
16 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
36 1
< 0.1%
ValueCountFrequency (%)
7499298 1
< 0.1%
7499289 1
< 0.1%
7499284 1
< 0.1%
7499270 1
< 0.1%
7499260 1
< 0.1%
7499252 1
< 0.1%
7499232 1
< 0.1%
7499228 1
< 0.1%
7499226 1
< 0.1%
7499222 1
< 0.1%

Interactions

2023-09-24T15:32:07.388156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-09-24T15:33:16.440529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Complaint IDProductCompany public responseTagsConsumer consent provided?Submitted viaCompany response to consumerTimely response?Consumer disputed?
Complaint ID1.0000.2880.2270.2010.1060.1470.2370.0770.051
Product0.2881.0000.2240.2890.1430.1840.2380.1310.067
Company public response0.2270.2241.0000.1090.0540.0540.1250.0940.071
Tags0.2010.2890.1091.0000.0740.1970.1070.0010.008
Consumer consent provided?0.1060.1430.0540.0741.0000.0090.1530.0310.053
Submitted via0.1470.1840.0540.1970.0091.0000.0780.0210.068
Company response to consumer0.2370.2380.1250.1070.1530.0781.0000.4200.108
Timely response?0.0770.1310.0940.0010.0310.0210.4201.0000.031
Consumer disputed?0.0510.0670.0710.0080.0530.0680.1080.0311.000

Missing values

2023-09-24T15:32:15.166237image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-24T15:32:27.445675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-24T15:33:00.213194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Date receivedProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeTagsConsumer consent provided?Submitted viaDate sent to companyCompany response to consumerTimely response?Consumer disputed?Complaint ID
02023-08-23Payday loan, title loan, or personal loanInstallment loanProblem when making paymentsNaNNaNNaNOneMain Finance CorporationNC27407NaNNaNWeb2023-08-23Closed with explanationYesNaN7448359
12023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingIncorrect information on your reportAccount information incorrectNaNCompany has responded to the consumer and the CFPB and chooses not to provide a public responseExperian Information Solutions Inc.GA30318NaNConsent not providedWeb2023-08-23Closed with non-monetary reliefYesNaN7442747
22023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingImproper use of your reportReporting company used your report improperlyNaNNaNMaximus Education, LLC dba AidvantageOH43035ServicememberNaNWeb2023-08-23Closed with explanationYesNaN7442667
32023-08-23Credit card or prepaid cardStore credit cardFees or interestCharged too much interestNaNCompany has responded to the consumer and the CFPB and chooses not to provide a public responseCITIBANK, N.A.KY41018Older AmericanNaNPhone2023-08-23Closed with explanationYesNaN7442765
42023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingProblem with a credit reporting company's investigation into an existing problemTheir investigation did not fix an error on your reportNaNNaNFORD MOTOR CREDIT CO.FL336XXNaNNaNWeb2023-08-23In progressYesNaN7448366
52023-08-23Debt collectionOther debtFalse statements or representationAttempted to collect wrong amountNaNNaNLTD Financial Services, L.P.NJ08046ServicememberNaNWeb2023-08-23In progressYesNaN7447784
62023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingIncorrect information on your reportInformation belongs to someone elseNaNNaNSET Financial CorporationMO64118NaNNaNWeb2023-08-23Closed with explanationYesNaN7442577
72023-08-23Debt collectionI do not knowWritten notification about debtDidn't receive enough information to verify debtNaNNaNURS Holding, LLCVA23692NaNNaNWeb2023-08-23Closed with explanationYesNaN7443242
82023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingProblem with a credit reporting company's investigation into an existing problemDifficulty submitting a dispute or getting information about a dispute over the phoneNaNNaNExperian Information Solutions Inc.NY10928NaNNaNWeb2023-08-23In progressYesNaN7443333
92023-08-23Credit reporting, credit repair services, or other personal consumer reportsCredit reportingImproper use of your reportCredit inquiries on your report that you don't recognizeNaNNaNFORD MOTOR CREDIT CO.KS66441NaNNaNWeb2023-08-23In progressYesNaN7448042
Date receivedProductSub-productIssueSub-issueConsumer complaint narrativeCompany public responseCompanyStateZIP codeTagsConsumer consent provided?Submitted viaDate sent to companyCompany response to consumerTimely response?Consumer disputed?Complaint ID
40285202022-08-15Checking or savings accountChecking accountManaging an accountDeposits and withdrawalsNaNNaNJPMORGAN CHASE & CO.CA91902NaNNaNPhone2022-08-15Closed with explanationYesNaN5880622
40285212012-09-27Credit cardNaNAdvertising and marketingNaNNaNNaNDISCOVER BANKTX75238NaNNaNWeb2012-09-27Closed with explanationYesNo160482
40285222015-07-16Credit cardNaNAPR or interest rateNaNNaNCompany chooses not to provide a public responseBARCLAYS BANK DELAWAREIL60417NaNConsent not providedWeb2015-07-16Closed with non-monetary reliefYesNo1470975
40285232022-08-16Debt collectionOther debtAttempts to collect debt not owedDebt is not yoursNaNNaNCONTRACT CALLERS INCVA23223NaNConsent not providedWeb2022-08-16Closed with explanationYesNaN5882345
40285242022-08-13Debt collectionOther debtAttempts to collect debt not owedDebt is not yoursNaNNaNAFNI INC.FL33647NaNConsent not providedWeb2022-08-13Closed with explanationYesNaN5875635
40285252015-02-21Credit cardNaNSale of accountNaNNaNNaNJPMORGAN CHASE & CO.AL36695NaNNaNWeb2015-02-21Closed with explanationYesYes1250605
40285262015-07-19Credit reportingNaNIncorrect information on credit reportAccount statusNaNNaNEQUIFAX, INC.IL60614NaNConsent not providedWeb2015-07-19Closed with explanationYesNo1473577
40285272022-06-16MortgageConventional home mortgageApplying for a mortgage or refinancing an existing mortgageNaNNaNNaNMr. Cooper Group Inc.IA52205NaNNaNReferral2022-06-17Closed with explanationYesNaN5683655
40285282022-04-26Debt collectionI do not knowAttempts to collect debt not owedDebt is not yoursNaNNaNV and H PortfolioSC29624NaNConsent not providedWeb2022-04-26Closed with non-monetary reliefYesNaN5495755
40285292022-08-15Checking or savings accountChecking accountManaging an accountDeposits and withdrawalsNaNNaNJPMORGAN CHASE & CO.PA17972Older AmericanNaNPhone2022-08-15Closed with explanationYesNaN5879503